Week

Date

Contents

Links

1

04/08

Course Introduction
A Whirlwind Tour of Python, Numpy and Matplotlib

2

04/15

Fundamentals and Landscape of Classical Machine Learning

3

04/29

Classical Machine Learning for Classification and Regression (I)

4

05/06

Classical Machine Learning for Classification and Regression (II)

5

06/03

Classical Machine Learning for Classification and Regression (III)

Materials
Videos

6

06/10

Classical Machine Learning: Wrap Up

-

06/17

Break

-

06/24

Mid-Term Project Presentation (Highly Encouraged)

7

07/09

Fundamentals and Landscape of Deep Learning

8

07/16

Convolutional Neural Networks (I)

9

07/23

Convolutional Neural Networks (II)

10

07/30

Convolutional Neural Networks (III)

-

08/06

Term Project Review

-

08/13

Term Project Presentation